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SQUIDS Seminar - Bayesian inference of discretely observed diffusions

Dates:26 March 2025
Times:15:00 - 16:00
What is it:Seminar
Organiser:Department of Mathematics
Who is it for:University staff, External researchers, Current University students
Speaker:Masoumeh Dashti
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  • In category "Seminar"
  • In group "(Maths) Statistics, quantification of uncertainty, inverse problems and data science"
  • By Department of Mathematics

We consider the inverse problem of recovering the diffusion and drift functions of a stochastic differential equation from discrete measurements of its solution. We show the well-definedness and stability of the Bayesian framework for this problem with respect to appropriate approximations of the underlying forward model, allowing for priors with unbounded support. Then, in the case of small-noise diffusions, we look at certain properties of Gaussian approximations of the transition densities in this context.

This is based on joint work with J-C Croix, I Kiss, S Katsarakis and T Zerenner.

Speaker

Masoumeh Dashti

Organisation: University of Sussex

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G.113
Alan Turing Building
Manchester

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Jonas Latz

jonas.latz@manchester.ac.uk

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